Bancie/Optimization-Oracle
An open-source library crafting efficient algorithms for Mixed Integer Linear Programming (MILP) challenges.
This helps professionals and researchers find optimal solutions for complex planning and resource allocation problems where decisions must be whole numbers. You provide a set of choices, their associated costs or benefits, and any constraints, and it tells you the best combination. This is for operations managers, financial analysts, and engineers needing to make discrete, best-possible decisions.
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Use this if you need to optimize a system where some or all of your decision variables must be whole numbers, like the number of machines to buy or staff to hire.
Not ideal if your optimization problem only involves continuous variables that can take any fractional value.
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Python
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Last pushed
May 04, 2024
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